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来源databricks/databricks-agent-skills

databricks/databricks-agent-skills 已索引

Databricks AI Tools: skills and plugins for building on Databricks with Claude Code, Cursor, Codex, GitHub Copilot, and other AI coding agents.

查看上游仓库

已索引 索引里有这个仓库的包记录。包数量是历史登记记录，不代表这些包现在仍可用。

仓库

规范名称
databricks/databricks-agent-skills
GitHub 仓库 ID
1134135741
包记录
127 （历史登记记录，不代表现在仍可用）

发现与队列

首个记录来源
marketplace:anthropics/claude-plugins-official
发现于
队列状态
ok
记录的错误次数
0
最近完成的处理
下次检查资格
起具备资格

首个记录来源是队列第一次保存的来源，不是完整的发现历史。错误次数在处理以错误状态结束时增加，成功处理后清零，不是全部尝试次数。「最近完成的处理」是结束时间，不是开始时间。

资格按 计算。它不是排期：采集器每次运行只处理有限数量的来源，具备资格也不保证何时检查。

最近保存的扫描

仓库元数据读取于
扫描状态
complete
扫描保存于
识别器版本
2
续扫记录
没有

扫描记录与队列状态分开：队列状态说明处理进度，扫描记录说明最近一次保存了什么。有续扫记录只表示存有未完成的状态，没有剩余数量。

源文件证据覆盖

已存储的包版本在这个仓库中引用的固定源文件的原始计数。它反映已记录了什么，不代表仓库有多完整。

范围与限制

统计所有已存储版本（来自任何包）中指向本仓库规范名称的不同固定文件链接（仓库、提交、路径）。本仓库所拥有的包的文件，只有被某个版本在这里链接时才会计入。不合并别名，也不会根据当前名称推测历史。

「已知」表示已记录普通文件身份，不表示整个目录或包已被覆盖。不是有效固定文件 URL 的链接不计入。

引用了 194 个固定源文件

  • 194 已知
  • 0 提交中不存在
  • 0 文件列表截断
  • 0 不受支持
  • 0 尚无记录
  • 0 读取失败

按仓库、提交和路径去重；同一路径出现在两个提交中，按两个文件身份计数。不是组件组数。

读取失败的提交 0

尚无记录的文件没有对应的提交读取失败记录。

关联的包 127

按仓库的已验证身份关联。数量是历史登记记录，不是当前可用性。

第 61–80 条，共 127 条结果

  • databricks-jobs技能

    Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.

    0420b1fb45bb

  • databricks-jobs技能

    Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.

    0420b1fb45bb

  • databricks-lakebase技能

    Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.

    0420b1fb45bb

  • databricks-lakebase技能

    Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.

    0420b1fb45bb

  • databricks-lakebase技能

    Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.

    0420b1fb45bb

  • databricks-lakebase技能

    Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.

    0420b1fb45bb

  • databricks-lakeflow-connect技能

    Build managed ingestion pipelines into Databricks using Lakeflow Connect. Use when ingesting from SaaS apps (Salesforce, Workday Reports, ServiceNow, Google Analytics 4, HubSpot, Confluence) or databases (SQL Server cloud and on-prem; Post…

    0420b1fb45bb

  • databricks-lakeflow-connect技能

    Build managed ingestion pipelines into Databricks using Lakeflow Connect. Use when ingesting from SaaS apps (Salesforce, Workday Reports, ServiceNow, Google Analytics 4, HubSpot, Confluence) or databases (SQL Server cloud and on-prem; Post…

    0420b1fb45bb

  • databricks-lakeflow-connect技能

    Build managed ingestion pipelines into Databricks using Lakeflow Connect. Use when ingesting from SaaS apps (Salesforce, Workday Reports, ServiceNow, Google Analytics 4, HubSpot, Confluence) or databases (SQL Server cloud and on-prem; Post…

    0420b1fb45bb

  • databricks-lakeflow-connect技能

    Build managed ingestion pipelines into Databricks using Lakeflow Connect. Use when ingesting from SaaS apps (Salesforce, Workday Reports, ServiceNow, Google Analytics 4, HubSpot, Confluence) or databases (SQL Server cloud and on-prem; Post…

    0420b1fb45bb

  • databricks-metric-views技能

    Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions acros…

    0420b1fb45bb

  • databricks-metric-views技能

    Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions acros…

    0420b1fb45bb

  • databricks-metric-views技能

    Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions acros…

    0420b1fb45bb

  • databricks-metric-views技能

    Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions acros…

    0420b1fb45bb

  • databricks-ml-training技能

    Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-…

    0420b1fb45bb

  • databricks-ml-training技能

    Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-…

    0420b1fb45bb

  • databricks-ml-training技能

    Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-…

    0420b1fb45bb

  • databricks-ml-training技能

    Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-…

    0420b1fb45bb

  • databricks-mlflow-evaluation技能

    MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), building eval datasets from traces, setting up tra…

    0420b1fb45bb

  • databricks-mlflow-evaluation技能

    MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), building eval datasets from traces, setting up tra…

    0420b1fb45bb

已保存的扫描说明 0

没有保存额外的扫描说明。

记录的别名 0

这些名称在上次记录时指向这个仓库。这是记录下来的解析结果，不是实时的 GitHub 检查；本站不会因此合并包或元数据。

没有记录到指向这个仓库的别名。

不支持的市场条目 0

这个仓库的市场清单里、本站暂不支持的条目。它们是原样保存的来源数据，不会被抓取或执行。

没有记录到不支持的条目。